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Guiding principles for the optimal use of data analytics by physicians at the point of care

https://policybase.cma.ca/en/permalink/policy11812
Last Reviewed
2020-02-29
Date
2016-02-27
Topics
Health information and e-health
  1 document  
Policy Type
Policy document
Last Reviewed
2020-02-29
Date
2016-02-27
Topics
Health information and e-health
Text
Electronic tools are now being used more widely in medicine than ever before. A majority of physicians in Canada have adopted electronic medical records (EMRs)-75% of physicians use EMRs to enter or retrieve clinical patient notes, and 80% use electronic tools to access laboratory/diagnostic test results. The increased use of point-of-care tools and information repositories has resulted in the mass digitization and storage of clinical information, which provides opportunities for the use of big data analytics. Big data analytics may come to be understood as the process of examining clinical data in EMRs cross-referenced with other administrative, demographic and behavioural data sources to reveal determinants of patient health and patterns in clinical practice. Its increased use may provide opportunities to develop and enhance clinical practice tools and to improve health outcomes at both point-of-care and population levels. However, given the nature of EMR use in Canada, these opportunities may be restricted to primary care practice at this time. Physicians play a central role in finding the right balance between leveraging the advantages of big data analytics and protecting patient privacy. Guiding Principles for the Optimal Use of Data Analytics by Physicians at the Point of Care outlines basic considerations for the use of big data analytics services and highlights key considerations when responding to requests for access to EMR data, including the following: * Why will data analytics be used? Will the safety and effectiveness of patient care be enhanced? Will the results be used to inform public health measures? * What are the responsibilities of physicians to respect and protect patient and physician information, provide appropriate information during consent conversations, and review data sharing agreements and consult with EMR vendors to understand how data will be used? As physicians will encounter big data analytics in a number of ways, this document also outlines the characteristics one should be looking for when assessing the safety and effectiveness of big data analytics services: * protection of privacy * clear and detailed data sharing agreement * physician-owned and -led data collaboratives * endorsement by a professional or recognized association, medical society or health care organization * scope of services and functionality/appropriateness of data While this guidance is not a standalone document-it should be used as a supplemental reference to provincial privacy legislation-it is hoped that it can aid physicians to identify suitable big data analytics services and derive benefits from them. Introduction This document outlines basic considerations for the use of big data analytics services at the point of care or for research approved by a research ethics board. This includes considerations when responding to requests for access to data in electronic medical records (EMRs). These guiding principles build on the policies of the Canadian Medical Association (CMA) on Data Sharing Agreements: Principles for Electronic Medical Records/Electronic Health Records,1 Principles Concerning Physician Information2 and Principles for the Protection of Patients' Personal Health Information,3 the 2011 clinical vignettes Disclosing Personal Health Information to Third Parties4 and Need to Know and Circle of Care,5 and the Canadian Medical Protective Association's The Impact of Big Data on Healthcare and Medical Practice.6 These guiding principles are for information and reference only and should not be construed as legal or financial advice, nor is this document a substitute for legal or other professional advice. Physicians must always comply with all legislation that applies to big data analytics, including privacy legislation. Big data analytics in the clinical context involves the collection, use and potential disclosure of patient and physician information, both of which could be considered sensitive personal information under privacy legislation. Big data analytics has the potential to improve health outcomes, both at the point of care and at a population level. Doctors have a key role to play in finding the right balance between leveraging the advantages of big data (enhanced care, service delivery and resource management) and protecting patient privacy.7 Background A majority of physicians in Canada have adopted EMRs in their practice. The percentage of physicians using EMRs to enter or retrieve clinical patient notes increased from 26% in 2007 to 75% in 2014. Eighty percent of physicians used electronic tools to access laboratory/diagnostic test results in 2014, up from 38% in 2010.8 The increasingly broad collection of information by physicians at the point of care, combined with the growth of information repositories developed by various governmental and intergovernmental bodies, has resulted in the mass digitization and storage of clinical information. Big data is the term for data sets so large and complex that it is difficult to process them using traditional relational database management systems, desktop statistics and visualization software. What is considered "big" depends on the infrastructure and capabilities of the organization managing the data.9 Analytics is the discovery and communication of meaningful patterns in data. Analytics relies on the simultaneous application of statistics, computer programming and operations research. Analytics often favours data visualization to communicate insight, and insights from data are used to guide decision-making.10 For physicians, big data analytics may come to be understood as the process of examining the clinical data in EMRs cross-referenced with other administrative, demographic and behavioural data sources to reveal determinants of patient health and patterns in clinical practice. This information can be used to assist clinical decision-making or for research approved by a research ethics board. There are four types of big data analytics physicians may encounter in the provision of patient care. They are generally performed in the following sequence, in a continuous cycle11,12,13,14: 1. Population health analytics: Health trends are identified in the aggregate within a community, a region or a national population. The data can be derived from biomedical and/or administrative data. 2. Risk-based cost analysis: Populations are segmented into groups according to the level of risk to the patient's health and/or cost to the health system. 3. Care management: Clinicians are enabled to manage patient care according to defined care pathways and clinical protocols informed by population health analytics and risk-based cost analysis. Care management includes the following: o Clinical decision support: Outcomes are predicted and/or alternative treatments are recommended to clinicians and patients at the point of care. o Personalized/precision care: Personalized data sets, such as genomic DNA sequences for at-risk patients, are leveraged to highlight best practice treatments for patients and practitioners. These solutions may offer early detection and diagnosis before a patient develops disease symptoms. o Clinical operations: Workflow management is performed, such as wait-times management, mining historical and unstructured data for patterns to predict events that may affect care. o Continuing education and professional development: Longitudinal performance data are combined across institutions, classes, cohorts or programs with correlating patient outcomes to assess models of education and/or develop new programs. 4. Performance analytics: Metrics for quality and efficiency of patient care are cross-referenced with clinical decision-making and performance data to assess clinical performance. This cycle is also sometimes understood as a component of "meaningful" or "enhanced" use of EMRs. How might physicians encounter big data analytics? Many EMRs run analytics both visibly (e.g., as a function that can be activated at appropriate junctures in the care pathway) and invisibly (e.g., as tools that run seamlessly in the background of an EMR). Physicians may or may not be aware when data are being collected, analyzed, tailored or presented by big data analytics services. However, many jurisdictions are strengthening their laws and standards, and best practices are gradually emerging.15 Physicians may have entered into a data sharing agreement with their EMR vendor when they procured an EMR for their practice. Such agreements may include provisions to share de-identified (i.e., anonymized) and/or aggregate data with the EMR vendor for specified or unspecified purposes. Physicians may also receive requests from third parties to share their EMR data. These requests may come from various sources: * provincial governments * intergovernmental agencies * national and provincial associations, including medical associations * non-profit organizations * independent researchers * EMR vendors, service providers and other private corporations National Physician Survey results indicate that in 2014, 10% of physicians had shared data from their EMRs for the purposes of research, 10% for chronic disease surveillance and 8% for care improvement. Family physicians were more likely than other specialists to share with public health agencies (22% v. 11%) and electronic record vendors (13% v. 2%). Specialists were more likely than family physicians to share with researchers (59% v. 37%), hospital departments (47% v. 20%) and university departments (28% v. 15%). There is significant variability across the provinces with regard to what proportion of physicians are sharing information from their EMRs, which is affected by the presence of research initiatives, research objectives defined by the approval of a research ethics board, the adoption rates of EMRs among physicians in the province and the functionality of those EMRs.16 For example, there are family practitioners across Canada who provide data to the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). The CPCSSN is a multi-disease EMR surveillance and research system that allows family physicians, epidemiologists and researchers to understand and manage chronic care conditions for patients. Health information is collected from EMRs in the offices of participating family physicians, specifically information about Canadians suffering from chronic and mental health conditions and three neurologic conditions, including Alzheimer's and related dementias.17 In another example, the Canadian Partnership Against Cancer's Surgical Synoptic Reporting Initiative captures standardized information about surgery at the point of care and transmits the surgical report to other health care personnel. Surgeons can use the captured information, which gives them the ability to assess adherence to the clinical evidence and safety procedures embedded in the reporting templates, to track their own practices and those of their community.18 The concept of synoptic reporting-whereby a physician provides anonymized data about their practice in return for an aggregate report summarizing the practice of others -can be expanded to any area in which an appropriate number of physicians are willing to participate. Guiding principles for the use of big data analytics These guiding principles are designed to give physicians a starting point as they consider the use of big data analytics in their practices: * The objective of using big data analytics must be to enhance the safety and/or effectiveness of patient care or for the purpose of health promotion. * Should a physician use big data analytics, it is the responsibility of the physician to do so in a way that adheres to their legislative, regulatory and/or professional obligations. * Physicians are responsible for the privacy of their individual patients. Physicians may wish to refer to the CMA's policy on Principles for the Protection of Patients' Personal Health Information.19 * Physicians are responsible for respecting and protecting the privacy of other physicians' information. Physicians may wish to refer to the CMA's policy on Principles Concerning Physician Information.20 * When physicians enter into and document a broad consent discussion with their patient, which can include the electronic management of health information, this agreement should convey information to cover the elements common to big data analytics services. * Physicians may also wish to consider the potential for big data analytics to inform public health measures and enhance health system efficiency and take this into account when responding to requests for access to data in an EMR. * Many EMR vendors provide cloud-based storage to their clients, so information entered into an EMR may be available to the EMR vendor in a de-identified and/or aggregate state. Physicians should carefully read their data sharing agreement with their EMR vendor to understand how and why the data that is entered into an EMR is used, and/or they should refer to the CMA's policy on the matter, Data Sharing Agreements: Principles for Electronic Medical Records/Electronic Health Records.21 * Given the dynamic nature of this emerging tool, physicians are encouraged to share information about their experiences with big data analytics and its applications with colleagues. Characteristics of safe and effective big data analytics services 1. Protection of privacy Privacy and security concerns present a challenge in linking big data in EMRs. As data are linked, it becomes increasingly difficult to de-identify individual patients.22 As care is increasingly provided in interconnected, digital environments, physicians are having to take on the role of data stewardship. To that end, physicians may wish to employ conservative risk assessment practices-"should we" as opposed to "can we" when linking data sources-and obtain express patient consent, employing a "permission-based" approach to the collection and stewardship of data. 2. A clear and detailed data sharing agreement Physicians entering into a contract with an EMR vendor or other third party for provision of services should understand how and when they are contributing to the collection of data for the purposes of big data analytics services. There are template data sharing agreements available, which include the basic components of safe and effective data sharing, such as the model provided by the Information and Privacy Commissioner of Ontario.23 Data sharing agreements may include general use and project-specific use, both of which physicians should assess before entering into the agreement. When EMR access is being provided to a ministry of health and/or regional health authority, the data sharing agreement should distinguish between access to administrative data and access to clinical data. Physicians may wish to refer to the CMA's policy on Data Sharing Agreements: Principles for Electronic Medical Records/Electronic Health Records.24 3. Physician-owned and -led data collaboratives In some provinces there may exist opportunities to share clinical data in physician-owned and -led networks to reflect on and improve patient care. One example is the Physicians Data Collaborative in British Columbia, a not-for-profit organization open to divisions of family practice.25 Collaboratives such as this one are governed by physicians and driven by a desire to protect the privacy and safety of patients while producing meaningful results for physicians in daily practice. Participation in physician-owned data collaboratives may ensure that patient data continue to be managed by physicians, which may lead to an appropriate prioritization of physicians' obligations to balance patient-centred care and patient privacy. 4. Endorsement by a professional or other recognized association or medical society or health care organization When considering use of big data analytics services, it is best to select services created or endorsed by a professional or other recognized association or medical society. Some health care organizations, such as hospitals, may also develop or endorse services for use in their clinical environments. Without such endorsement, physicians are advised to proceed with additional caution. 5. Scope of services and functionality/appropriateness of data Physicians may wish to seek out information from EMR vendors and service providers about how big data analytics services complement the process of diagnosis and about the range of data sources from which these services draw. While big data analytics promises insight into population health and practice trends, if it is not drawing from an appropriate level of cross-referenced sources it may present a skewed picture of both.26 Ultimately, the physician must decide if the sources are appropriately diverse. Physicians should expect EMR vendors and service providers to make clear how and why they draw the information they do in the provision of analytics services. Ideally, analytics services should integrate population health analytics, risk-based cost analysis, care management services (such as point-of-care decision support tools) and performance analytics. Physicians should expect EMR vendors to allocate sufficient health informatics resources to information management, technical infrastructure, data protection and response to breaches in privacy, and data extraction and analysis.27,28 Physicians may also wish to consider the appropriateness of data analytics services in the context of their practices. Not all data will be useful for some medical specialties, such as those treating conditions that are relatively rare in the overall population. The potential for new or enhanced clinical practice tools informed by big data analytics may be restricted to primary care practice at this time.29 Finally, predictive analytics often make treatment recommendations that are designed to improve the health outcomes in a population, and these recommendations may conflict with physicians' ethical obligations to act in the best interests of individual patients and respect patients' autonomous decision-making).30 References 1 Canadian Medical Association. Data sharing agreements: principles for electronic medical records/electronic health records [CMA policy]. Ottawa: The Association; 2009. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD09-01.pdf 2 Canadian Medical Association. Principles concerning physician information [CMA policy]. CMAJ 2002 167(4):393-4. Available: http://policybase.cma.ca/dbtw-wpd/PolicyPDF/PD02-09.pdf 3 Canadian Medical Association. Principles for the protection of patients' personal health information [CMA policy]. Ottawa: The Association; 2010. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD11-03.pdf 4 Canadian Medical Association. Disclosing personal health information to third parties. Ottawa: The Association; 2011. Available: www.cma.ca/Assets/assets-library/document/en/advocacy/CMA_Disclosure_third_parties-e.pdf 5 Canadian Medical Association. Need to know and circle of care. Ottawa: The Association; 2011. Available: www.cma.ca/Assets/assets-library/document/en/advocacy/CMA_Need_to_know_circle_care-e.pdf 6 Canadian Medical Protective Association. The impact of big data on healthcare and medical practice. Ottawa: The Association; no date. Available: https://oplfrpd5.cmpa-acpm.ca/documents/10179/301372750/com_14_big_data_design-e.pdf 7 Kayyali B, Knott D, Van Kuiken S. The 'big data' revolution in US health care: accelerating value and innovation. New York: McKinsey & Company; 2013. p. 1. 8 College of Family Physicians of Canada, Canadian Medical Association, Royal College of Physicians and Surgeons of Canada. National physician survey, 2014. National results by FP/GP or other specialist, sex, age and all physicians. Q7. Ottawa: The Colleges and Association; 2014. Available: http://nationalphysiciansurvey.ca/wp-content/uploads/2014/08/2014-National-EN-Q7.pdf 9 Anonymous. Data, data everywhere. The Economist 2010 Feb 27. Available: www.economist.com/node/15557443 10 Anonymous. Data, data everywhere. The Economist 2010 Feb 27. Available: www.economist.com/node/15557443 11 Canada Health Infoway. Big data analytics in health. Toronto: Canada Health Infoway; 2013. Available: www.infoway-inforoute.ca/index.php/resources/technical-documents/emerging-technology/doc_download/1419-big-data-analytics-in-health-white-paper-full-report (accessed 2014 May 16). 12 Ellaway RH, Pusic MV, Galbraith RM, Cameron T. 2014 Developing the role of big data and analytics in health professional education. Med Teach 2014;36(3):216-222. 13 Marino DJ. Using business intelligence to reduce the cost of care. Healthc Financ Manage 2014;68(3):42-44, 46. 14 Porter ME, Lee TH. The strategy that will fix health care. Harv Bus Rev 2013;91(10):50-70. 15 Baggaley C. Data protection in a world of big data: Canadian Medical Protective Association information session [presentation]. 2014 Aug 20. Available: https://oplfrpd5.cmpa-acpm.ca/documents/10179/301372750/com_2014_carmen_baggaley-e.pdf 16 College of Family Physicians of Canada, Canadian Medical Association, Royal College of Physicians and Surgeons of Canada. National physician survey, 2014. National results by FP/GP or other specialist, sex, age and all physicians. Q10. Ottawa: The Colleges and Association; 2014. Available: http://nationalphysiciansurvey.ca/wp-content/uploads/2014/08/2014-National-EN-Q10.pdf 17 Canadian Primary Care Sentinel Surveillance Network. Available: http://cpcssn.ca/ (accessed 2014 Nov 15). 18 Canadian Partnership Against Cancer. Sustaining action toward a shared vision: 2012-2017 strategic plan. Toronto: The Partnership; no date. Available: www.partnershipagainstcancer.ca/wp-content/uploads/sites/5/2015/03/Sustaining-Action-Toward-a-Shared-Vision_accessible.pdf 19 Canadian Medical Association. Principles for the protection of patients' personal health information [CMA policy]. Ottawa: The Association; 2011. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD11-03.pdf 20 Canadian Medical Association. Principles for the protection of patients' personal health information [CMA policy]. Ottawa: The Association; 2011. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD11-03.pdf 21 Canadian Medical Association. Data sharing agreements: principles for electronic medical records/electronic health records [CMA policy]. Ottawa: The Association; 2009. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD09-01.pdf 22 Weber G, Mandl KD, Kohane IS. Finding the missing link for big biomedical data . JAMA 2014;311(24):2479-2480. doi:10.1001/jama.2014.4228. 23 Information and Privacy Commissioner of Ontario. Model data sharing agreement. Toronto: The Commissioner; 1995. Available: www.ipc.on.ca/images/Resources/model-data-ag.pdf 24 Canadian Medical Association. Data sharing agreements: principles for electronic medical records/electronic health records [CMA policy]. Ottawa: The Association; 2009. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD09-01.pdf 25 Physicians Data Collaborative. Overview. Available: www.divisionsbc.ca/datacollaborative/home 26 Cohen IG, Amarasingham R, Shah A, Xie B, Lo B. The legal and ethical concerns that arise from using complex predictive analytics in health care. Health Aff 2014;33(7):1139-1147. 27 Rhoads J, Ferrara L. Transforming healthcare through better use of data. Electron Healthc 2012;11(1):e27. 28 Canadian Medical Protective Association. The impact of big data and healthcare and medical practice. Ottawa: The Association; no date. Available: https://oplfrpd5.cmpa-acpm.ca/documents/10179/301372750/com_14_big_data_design-e.pdf 29 Genta RM, Sonnenberg A. Big data in gastroenterology research. Nat Rev Gastroenterol Hepatol 2014;11(6):386-390. 30 Cohen IG, Amarasingham R, Shah A, Xie B, Lo B. The legal and ethical concerns that arise from using complex predictive analytics in health care. Health Aff 2014;33(7):1139-1147.
Documents
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Health Care Coverage for Migrants: An Open Letter to the Canadian Federal Government

https://policybase.cma.ca/en/permalink/policy13940
Date
2018-12-15
Topics
Population health/ health equity/ public health
Health systems, system funding and performance
Ethics and medical professionalism
  1 document  
Policy Type
Policy endorsement
Date
2018-12-15
Topics
Population health/ health equity/ public health
Health systems, system funding and performance
Ethics and medical professionalism
Text
Dear Prime Minister Trudeau & Ministers Taylor and Hussen, We are writing to you today as members of the health community to urge your action on a crucial matter pertaining to health and human rights. You will no doubt be aware that the United Nations Human Rights Committee (UNHRC) recently issued a landmark decision condemning Canada for denying access to essential health care on the basis of immigration status based on the case of Nell Toussaint. Nell is a 49-year-old woman from Grenada who has been living in Canada since 1999, and who suffered significant negative health consequences as a result of being denied access to essential health care services. The UNHRC’s decision condemns Canada’s existing discriminatory policies, and finds Canada to be in violation of both the right to life, as well as the right to equality and freedom from discrimination. Based on its review of the International Covenant on Civil and Political Rights, the UNHRC has declared that Canada must provide Nell with adequate compensation for the significant harm she suffered. As well, they have called on Canada to report on its review of national legislation within a 180-day period, in order “to ensure that irregular migrants have access to essential health care to prevent a reasonably foreseeable risk that can result in loss of life”. The United Nations Special Rapporteur has pushed for the same, calling on the government “to protect health-related rights to life, security of the person, and equality of individuals and groups in situations of vulnerability”. Nell is one of an estimated half million people in Ontario alone who are denied access to health coverage and care on the basis of their immigration status, putting their health at risk. As members of Canada’s health community, we are appalled by the details of this case as well as its broad implications, and call on the government to: 1. Comply with the UNHRC’s order to review existing laws and policies regarding health care coverage for irregular migrants. 2. Ensure appropriate resource allocation, so that all people in Canada are provided universal and equitable access to health care services, regardless of immigration status. 3. Provide Nell Toussaint with adequate compensation for the significant harm she has suffered as a result of not receiving essential health care services. For more information on this issue, please see our backgrounder here: https://goo.gl/V9vPyo. Sincerely, Arnav Agarwal, MD, Internal Medicine Resident, University of Toronto, Toronto ON Nisha Kansal, BHSc, MD Candidate, McMaster University, Hamilton ON Michaela Beder, MD, Psychiatrist, Toronto ON Ritika Goel, MD, Family Physician, Toronto ON This open letter is signed by the following organizations and individuals: Bathurst United Church TOPS 1. Arnav Agarwal, MD, Internal Medicine Resident, University of Toronto, Toronto ON 2. Nisha Kansal, BHSc, MD Candidate, McMaster University, Hamilton ON 3. Michaela Beder, MD FRCPC, Psychiatrist, Toronto ON 4. Ritika Goel, MD, Family Physician, Toronto ON 5. Gordon Guyatt, MD FRCPC, Internal Medicine Specialist, McMaster University, Hamilton ON 6. Melanie Spence, RN, Nursing, South Riverdale Community Health Centre, Toronto ON 7. Yipeng Ge, BHSc, Medical Student, University of Ottawa, Ottawa ON 8. Stephen Hwang, MD, Professor of Medicine, University of Toronto, Toronto ON 9. Gigi Osler, BScMed, MD, FRCSC, Otolaryngology-Head and Neck Surgery, Canadian Medical Association, Ottawa ON 10. Anjum Sultana, MPH, Public Policy Professional, Toronto ON 11. Danyaal Raza, MD, MPH, CCFP, Family Medicine, Toronto ON 12. P.J. Devereaux, MD, PhD, Cardiologist, McMaster University, Brantford ON 13. Mathura Karunanithy, MA, Public Policy Researcher, Toronto ON 14. Philip Berger, MD, Family Physician, Toronto ON 15. Nanky Rai, MD MPH, Primary Care Physician, Toronto ON 16. Michaela Hynie, Prof, Researcher, York University, Toronto ON 17. Meb Rashid, MD CCFP FCFP, Family Physician, Toronto ON 18. Sally Lin, MPH, Public Health, Victoria BC 19. Jonathon Herriot, BSc, MD, CCFP, Family Physician, Toronto ON 20. Carolina Jimenez, RN, MPH, Nurse, Toronto ON 21. Rushil Chaudhary, BHSc, Medical Student, Toronto ON 22. Nisha Toomey, MA (Ed), PhD Student, University of Toronto, Toronto ON 23. Matei Stoian, BSc, BA, Medical Student, McMaster University, Hamilton ON 24. Ruth Chiu, MD, Family Medicine Resident, Kingston ON 25. Priya Gupta, Medical Student, Hamilton ON 26. The Neighbourhood Organization (TNO), Toronto, ON 27. Mohammad Asadi-Lari, MD/PhD Candidate, University of Toronto, Toronto ON 28. Kathleen Hughes, MD Candidate, McMaster University, Hamilton ON 29. Nancy Vu, MPA, Medical Student, McMaster University, Hamilton ON 30. Ananthavalli Kumarappah, MD, Family Medicine Resident, University of Calgary, Calgary AB 31. Renee Sharma, MSc, Medical Student, University of Toronto, Toronto ON 32. Daniel Voloshin, Medical Student , McMaster Medical School , Hamilton ON 33. Sureka Pavalagantharajah, Medical Student, McMaster University, Hamilton ON 34. Alice Cavanagh , MD/PhD Student, McMaster University, Hamilton ON 35. Krish Bilimoria, MD(c), Medical Student, University of Toronto, North York ON 36. Bilal Bagha, HBSc, Medical Student, St. Catharines ON 37. Rana Kamhawy, Medical Student, Hamilton ON 38. Annie Yu, Medical Student, Toronto ON 39. Samantha Rossi, MA, Medical Student, University of Toronto, Toronto ON 40. Carlos Chan, MD Candidate, Medical Student, McMaster University, St Catharines ON 41. Jacqueline Vincent, MA, Medical Student, McMaster, Kitchener ON 42. Eliza Pope, BHSc, Medical Student, University of Toronto, Toronto ON 43. Cara Elliott, MD, Medical Student, Toronto ON 44. Antu Hossain, MPH, Public Health Professional, East York ON 45. Lyubov Lytvyn, MSc, PhD Student in Health Research, McMaster University, Burlington ON 46. Michelle Cohen, MD, CCFP, Family Physician, Brighton ON 47. Serena Arora, Medical Student, Hamilton ON 48. Saadia Sediqzadah, MD, Psychiatrist, Toronto ON 49. Maxwell Tran, Medical Student, University of Toronto, Toronto ON 50. Asia van Buuren, BSc, Medical Student, Toronto ON 51. Darby Little, Medical Student, University of Toronto, Toronto ON 52. Ximena Avila Monroy, MD MSc, Psychiatry Resident, Sherbrooke QC 53. Abeer Majeed, MD, CCFP, Family Physician, Toronto ON 54. Oluwatobi Olaiya, RN, Medical Student, Hamilton ON 55. Ashley Warnock, MSc, HBSc, HBA, Medical Student, McMaster University, Hamilton ON 56. Nikhita Singhal, Medical Student, Hamilton ON 57. Nikki Shah, MD Candidate, Medical Student, Hamilton ON 58. Karishma Ramjee, MD Family Medicine Resident , Scarborough ON 59. Yan Zhang, MSc, Global Health Professional, Toronto ON 60. Megan Saunders, MD, Family Physician, Toronto ON 61. Pooja Gandhi, MSc, Speech Pathologist, Mississauga ON 62. Julianna Deutscher, MD, Resident, Toronto ON 63. Diana Da Silva, MSW, Social Worker, Toronto ON Health Care Coverage for Migrants: An Open Letter to the Canadian Federal Government Sign here - https://goo.gl/forms/wAXTJE6YiqUFSo8x1 The Right Honourable Justin Trudeau, Prime Minister of Canada The Honourable Ginette P. Taylor, Minister of Health The Honourable Ahmed D. Hussen, Minister of Immigration, Refugees and Citizenship CC: Mr. Dainius Puras, United Nations Special Rapporteur on the right of everyone to the enjoyment of the highest attainable standard of health Dear Prime Minister Trudeau & Ministers Taylor and Hussen, We are writing to you today as members of the health community to urge your action on a crucial matter pertaining to health and human rights. You will no doubt be aware that the United Nations Human Rights Committee (UNHRC) recently issued a landmark decision condemning Canada for denying access to essential health care on the basis of immigration status based on the case of Nell Toussaint. Nell is a 49-year-old woman from Grenada who has been living in Canada since 1999, and who suffered significant negative health consequences as a result of being denied access to essential health care services. The UNHRC’s decision condemns Canada’s existing discriminatory policies, and finds Canada to be in violation of both the right to life, as well as the right to equality and freedom from discrimination. Based on its review of the International Covenant on Civil and Political Rights, the UNHRC has declared that Canada must provide Nell with adequate compensation for the significant harm she suffered. As well, they have called on Canada to report on its review of national legislation within a 180-day period, in order “to ensure that irregular migrants have access to essential health care to prevent a reasonably foreseeable risk that can result in loss of life”. The United Nations Special Rapporteur has pushed for the same, calling on the government “to protect health-related rights to life, security of the person, and equality of individuals and groups in situations of vulnerability”. Nell is one of an estimated half million people in Ontario alone who are denied access to health coverage and care on the basis of their immigration status, putting their health at risk. As members of Canada’s health community, we are appalled by the details of this case as well as its broad implications, and call on the government to: 1. Comply with the UNHRC’s order to review existing laws and policies regarding health care coverage for irregular migrants. 2. Ensure appropriate resource allocation, so that all people in Canada are provided universal and equitable access to health care services, regardless of immigration status. 3. Provide Nell Toussaint with adequate compensation for the significant harm she has suffered as a result of not receiving essential health care services. For more information on this issue, please see our backgrounder here: https://goo.gl/V9vPyo. Sincerely, Arnav Agarwal, MD, Internal Medicine Resident, University of Toronto, Toronto ON Nisha Kansal, BHSc, MD Candidate, McMaster University, Hamilton ON Michaela Beder, MD, Psychiatrist, Toronto ON Ritika Goel, MD, Family Physician, Toronto ON
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Maintaining Ontario’s leadership on prohibiting the use of sick notes for short medical leaves

https://policybase.cma.ca/en/permalink/policy13934
Date
2018-11-15
Topics
Physician practice/ compensation/ forms
Health systems, system funding and performance
  1 document  
Policy Type
Parliamentary submission
Date
2018-11-15
Topics
Physician practice/ compensation/ forms
Health systems, system funding and performance
Text
The Canadian Medical Association (CMA) submits this brief to the Standing Committee on Finance and Economic Affairs for consideration as part of its study on Bill 47, Making Ontario Open for Business Act, 2018. The CMA unites physicians on national, pan-Canadian health and medical matters. As the national advocacy organization representing physicians and the medical profession, the CMA engages with provincial/territorial governments on pan-Canadian health and health care priorities. As outlined in this submission, the CMA supports the position of the Ontario Medical Association (OMA) in recommending that Schedule 1 of Bill 47 be amended to strike down the proposed new Section 50(6) of the Employment Standards Act, 2000. This section proposes to reinstate an employer’s ability to require an employee to provide a sick note for short leaves of absence because of personal illness, injury or medical emergency. Ontario is currently a national leader on sick notes In 2018, Ontario became the first jurisdiction in Canada to withdraw the ability of employers to require employees to provide sick notes for short medical leaves because of illnesses such as a cold or flu. This legislative change aligned with the CMA’s policy position1 and was strongly supported by the medical and health policy community. An emerging pan-Canadian concern about the use of sick notes As health systems across Canada continue to grapple with the need to be more efficient, the use of sick notes for short leaves as a human resources tool to manage employee absenteeism has drawn increasing criticism in recent years. In addition to Ontario’s leadership, here are a few recent cases that demonstrate the emerging concern about the use of sick notes for short leaves:
In 2016, proposed legislation to end the practice was tabled in the Manitoba legislature.2
The Newfoundland and Labrador Medical Association and Doctors Nova Scotia have been vocal opponents of sick notes for short leaves, characterizing them as a strain on the health care system.3,4
The University of Alberta and Queen’s University have both formally adopted “no sick note” policies for exams.5,6
The report of Ontario’s Changing Workplaces Review summarized stakeholder comments about sick notes, describing them as “costly, very often result from a telephone consultation and repeat what the physician is told by the patient, and which are of very little value to the employer.”7 Ontario’s action in 2018 to remove the ability of employers to require sick notes, in response to the real challenges posed by this practice, was meaningful and demonstrated leadership in the national context. The requirement to obtain sick notes negatively affects patients and the public By walking back this advancement, Ontario risks reintroducing a needless inefficiency and strain on the health system, health care providers, their patients and families. For patients, having to produce a sick note for an 4 employer following a short illness-related leave could represent an unfair economic impact. Individuals who do not receive paid sick days may face the added burden of covering the cost of obtaining a sick note as well as related transportation fees in addition to losing their daily wage. This scenario illustrates an unfair socioeconomic impact of the proposal to reinstate employers’ ability to require sick notes. In representing the voice of Canada’s doctors, the CMA would be remiss not to mention the need for individuals who are ill to stay home, rest and recover. In addition to adding a physical strain on patients who are ill, the requirement for employees who are ill to get a sick note, may also contribute to the spread of viruses and infection. Allowing employers to require sick notes may also contribute to the spread of illness as employees may choose to forego the personal financial impact, and difficulty to secure an appointment, and simply go to work sick. Reinstating sick notes contradicts the government’s commitment to end hallway medicine It is important to consider these potential negative consequences in the context of the government’s commitment to “end hallway medicine.” If the proposal to reintroduce the ability of employers to require sick notes for short medical leaves is adopted, the government will be introducing an impediment to meeting its core health care commitment. Reinstating sick notes would increase the administrative burden on physicians Finally, as the national organization representing the medical profession in Canada, the CMA is concerned about how this proposal, if implemented, may negatively affect physician health and wellness. The CMA recently released a new baseline survey, CMA National Physician Health Survey: A National Snapshot, that reveals physician health is a growing concern.8 While the survey found that 82% of physicians and residents reported high resilience, a concerning one in four respondents reported experiencing high levels of burnout. How are these findings relevant to the proposed new Section 50(6) of the Employment Standards Act, 2000? Paperwork and administrative burden are routinely found to rank as a key contributor to physician burnout.9 While a certain level of paperwork and administrative responsibility is to be expected, health system and policy decision-makers must avoid introducing an unnecessary burden in our health care system. Conclusion: Remove Section 50(6) from Schedule 1 of Bill 47 The CMA appreciates the opportunity to provide this submission for consideration by the committee in its study of Bill 47. The committee has an important opportunity to respond to the real challenges associated with sick notes for short medical leaves by ensuring that Section 50(6) in Schedule 1 is not implemented as part of Bill 47. 5 1 Canadian Medical Association (CMA). Third-Party Forms (Update 2017). Ottawa: The Association; 2017. Available: http://policybase.cma.ca/dbtw-wpd/Policypdf/PD17-02.pdf (accessed 2019 Nov 13). 2 Bill 202. The Employment Standards Code Amendment Act (Sick Notes). Winnipeg: Queen’s Printer for the Province of Manitoba; 2016. Available: https://web2.gov.mb.ca/bills/40-5/pdf/b202.pdf (accessed 2019 Nov 13). 3 CBC News. Sick notes required by employers a strain on system, says NLMA. 2018 May 30. Available: www.cbc.ca/news/canada/newfoundland-labrador/employer-required-sick-notes-unnecessary-says-nlma-1.4682899 4 CBC News. No more sick notes from workers, pleads Doctors Nova Scotia. 2014 Jan 10. Available: www.cbc.ca/news/canada/nova-scotia/no-more-sick-notes-from-workers-pleads-doctors-nova-scotia-1.2491526 (accessed 2019 Nov 13). 5 University of Alberta University Health Centre. Exam deferrals. Edmonton: University of Alberta; 2018. Available: www.ualberta.ca/services/health-centre/exam-deferrals (accessed 2019 Nov 13). 6 Queen’s University Student Wellness Services. Sick notes. Kingston: Queen’s University; 2018. Available: www.queensu.ca/studentwellness/health-services/services-offered/sick-notes (accessed 2019 Nov 13). 7 Ministry of Labour. The Changing Workplaces Review: An Agenda for Workplace Rights. Final Report. Toronto: Ministry of Labour; 2017 May. Available: https://files.ontario.ca/books/mol_changing_workplace_report_eng_2_0.pdf (accessed 2019 Nov 13). 8 Canadian Medical Association (CMA). One in four Canadian physicians report burnout [media release]. Ottawa: The Association; 2018 Oct 10. Available: www.cma.ca/En/Pages/One-in-four-Canadian-physicians-report-burnout-.aspx (accessed 2019 Nov 13). 9 Leslie C. The burden of paperwork. Med Post 2018 Apr.
Documents
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Best practices for smartphone and smart-device clinical photo taking and sharing

https://policybase.cma.ca/en/permalink/policy13860
Date
2018-03-03
Topics
Health information and e-health
Ethics and medical professionalism
  1 document  
Policy Type
Policy document
Date
2018-03-03
Topics
Health information and e-health
Ethics and medical professionalism
Text
Clinical photography is a valuable tool for physicians. Smartphones, as well as other devices supporting network connectivity, offer a convenient, efficient method to take and share images. However, due to the private nature of the information contained in clinical photographs there are concerns as to the appropriate storage, dissemination, and documentation of clinical images. Confidentiality of image data must be considered and the dissemination of these images onto servers must respect the privacy and rights of the patient. Importantly, patient information should be considered as any information deriving from a patient, and the concepts outlined therefore apply to any media that can be collected on, or transmitted with, a smart-device. Clinical photography can aid in documenting form and function, in tracking conditions and wound healing, in planning surgical operations, and in clinical decision-making. Additionally, clinical photographs can provide physicians with a valuable tool for patient communication and education. Due to the convenience of this type of technology it is not appropriate to expect physicians to forego their use in providing their patients with the best care available. The technology and software required for secure transfer, communication, and storage of clinical media is presently available, but many devices have non-secure storage/dissemination options enabled and lack user-control for permanently deleting digital files. In addition, data uploaded onto server systems commonly cross legal jurisdictions. Many physicians are not comfortable with the practice, citing security, privacy, and confidentiality concerns as well as uncertainty in regards to regional regulations governing this practice.1 Due to concern for patient privacy and confidentiality it is therefore incredibly important to limit the unsecure or undocumented acquisition or dissemination of clinical photographs. To assess the current state of this topic, Heyns et al. have reviewed the accessibility and completeness of provincial and territorial medical regulatory college guidelines.2 Categories identified as vital and explored in this review included: Consent; Storage; Retention; Audit; Transmission; and Breach. While each regulatory body has addressed limited aspects of the overall issue, the authors found a general lack of available information and call for a unified document outlining pertinent instructions for conducting clinical photography using a smartphone and the electronic transmission of patient information.2 The discussion of this topic will need to be ongoing and it is important that physicians are aware of applicable regulations, both at the federal and provincial levels, and how these regulations may impact the use of personal devices. The best practices supported here aim to provide physicians and healthcare providers with an understanding of the scope and gravity of the current environment, as well as the information needed to ensure patient privacy and confidentiality is assessed and protected while physicians utilize accessible clinical photography to advance patient care. Importantly, this document only focusses on medical use (clinical, academic, and educational) of clinical photography and, while discussing many core concepts of patient privacy and confidentiality of information, should not be perceived as a complete or binding framework. Additionally, it is recommended that physicians understand the core competencies of clinical photography, which are not described here. The Canadian Medical Association (CMA) suggests that the following recommendations be implemented, as thoroughly as possible, to best align with the CMA policy on the Principles for the Protection of Patient Privacy (CMA Policy PD2018-02). These key recommendations represent a non-exhaustive set of best practices - physicians should seek additional information as needed to gain a thorough understanding and to stay current in this rapidly changing field. KEY RECOMMENDATIONS 1. CONSENT * Informed consent must be obtained, preferably prior, to photography with a mobile device. This applies for each and any such encounter and the purpose made clear (i.e. clinical, research, education, publication, etc.). Patients should also be made aware that they may request a copy of a picture or for a picture to be deleted. * A patient's consent to use electronic transmission does not relieve a physician of their duty to protect the confidentiality of patient information. Also, a patient's consent cannot override other jurisdictionally mandated security requirements. * All patient consents (including verbal) should be documented. The acquisition and recording of patient consent for medical photography/dissemination may be held to a high standard of accountability due to the patient privacy and confidentiality issues inherent in the use of this technology. Written and signed consent is encouraged. * Consent should be considered as necessary for any and all photography involving a patient, whether or not that patient can be directly recognized, due to the possibility of linked information and the potential for breach of privacy. The definition of non-identifiable photos must be carefully considered. Current technologies such as face recognition and pattern matching (e.g. skin markers, physical structure, etc.), especially in combination with identifying information, have the potential to create a privacy breach. * Unsecure text and email messaging requires explicit patient consent and should not be used unless the current gold standards of security are not accessible. For a patient-initiated unsecure transmission, consent should be clarified and not assumed. 2. TRANSMISSION * Transmission of photos and patient information should be encrypted as per current-day gold standards (presently, end-to-end encryption (E2EE)) and use only secure servers that are subject to Canadian laws. Explicit, informed consent is required otherwise due to privacy concerns or standards for servers in other jurisdictions. Generally, free internet-based communication services and public internet access are unsecure technologies and often operate on servers outside of Canadian jurisdiction. * Efforts should be made to use the most secure transmission method possible. For data security purposes, identifying information should never be included in the image, any frame of a video, the file name, or linked messages. * The sender should always ensure that each recipient is intended and appropriate and, if possible, receipt of transmission should be confirmed by the recipient. 3. STORAGE * Storing images and data on a smart-device should be limited as much as possible for data protection purposes. * Clinical photos, as well as messages or other patient-related information, should be completely segregated from the device's personal storage. This can be accomplished by using an app that creates a secure, password-protected folder on the device. * All information stored (on internal memory or cloud) must be strongly encrypted and password protected. The security measures must be more substantial than the general password unlock feature on mobile devices. * Efforts should be made to dissociate identifying information from images when images are exported from a secure server. Media should not be uploaded to platforms without an option for securely deleting information without consent from the patient, and only if there are no better options. Automatic back-up of photos to unsecure cloud servers should be deactivated. Further, other back-up or syncing options that could lead to unsecure server involvement should be ascertained and the risks mitigated. 4. Cloud storage should be on a Canadian and SOCII certified server. Explicit, informed consent is required otherwise due to privacy concerns for servers in other jurisdictions. 5. AUDIT & RETENTION * It is important to create an audit trail for the purposes of transparency and medical best practice. Key information includes patient and health information, consent type and details, pertinent information regarding the photography (date, circumstance, photographer), and any other important facts such as access granted/deletion requests. * Access to the stored information must be by the authorized physician or health care provider and for the intended purpose, as per the consent given. Records should be stored such that it is possible to print/transfer as necessary. * Original photos should be retained and not overwritten. * All photos and associated messages may be considered part of the patient's clinical records and should be maintained for at least 10 years or 10 years after the age of majority, whichever is longer. When possible, patient information (including photos and message histories between health professionals) should be retained and amalgamated with a patient's medical record. Provincial regulations regarding retention of clinical records may vary and other regulations may apply to other entities - e.g. 90 years from date of birth applies to records at the federal level. * It may not be allowable to erase a picture if it is integral to a clinical decision or provincial, federal, or other applicable regulations require their retention. 6. BREACH * Any breach should be taken seriously and should be reviewed. All reasonable efforts must be made to prevent a breach before one occurs. A breach occurs when personal information, communication, or photos of patients are stolen, lost, or mistakenly disclosed. This includes loss or theft of one's mobile device, texting to the wrong number or emailing/messaging to the wrong person(s), or accidentally showing a clinical photo that exists in the phone's personal photo album. * It should be noted that non-identifying information, when combined with other available information (e.g. a text message with identifiers or another image with identifiers), can lead to highly accurate re-identification. * At present, apps downloaded to a smart-device for personal use may be capable of collecting and sharing information - the rapidly changing nature of this technology and the inherent privacy concerns requires regular attention. Use of specialized apps designed for health-information sharing that help safeguard patient information in this context is worth careful consideration. * Having remote wipe (i.e. device reformatting) capabilities is an asset and can help contain a breach. However, inappropriate access may take place before reformatting occurs. * If a smartphone is strongly encrypted and has no clinical photos stored locally then its loss may not be considered a breach. * In the event of a breach any patient potentially involved must be notified as soon as possible. The CMPA, the organization/hospital, and the Provincial licensing College should also be contacted immediately. Provincial regulations regarding notification of breach may vary. Approved by the CMA Board of Directors March 2018 References i Heyns M†, Steve A‡, Dumestre DO‡, Fraulin FO‡, Yeung JK‡ † University of Calgary, Canada ‡ Section of Plastic Surgery, Department of Surgery, University of Calgary, Canada 1 Chan N, Charette J, Dumestre DO, Fraulin FO. Should 'smart phones' be used for patient photography? Plast Surg (Oakv). 2016;24(1):32-4. 2 Unpublished - Heyns M, Steve A, Dumestre DO, Fraulin FO, Yeung J. Canadian Guidelines on Smartphone Clinical Photography.
Documents
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Ambulance services

https://policybase.cma.ca/en/permalink/policy786
Last Reviewed
2017-03-04
Date
1975-06-25
Topics
Health human resources
Health systems, system funding and performance
Resolution
GC75-21
The Canadian Medical Association, recognizing the vital role of ambulance services in providing mobile life support for the acutely ill and injured, recommends that i) ambulance services be considered, where practicable, a direct extension of a hospital emergency department and integrated with the emergency services, ii) ambulance services incorporate standards of personnel education, vehicular design and life support equipment commensurate with those of the overall emergency care system.
Policy Type
Policy resolution
Last Reviewed
2017-03-04
Date
1975-06-25
Topics
Health human resources
Health systems, system funding and performance
Resolution
GC75-21
The Canadian Medical Association, recognizing the vital role of ambulance services in providing mobile life support for the acutely ill and injured, recommends that i) ambulance services be considered, where practicable, a direct extension of a hospital emergency department and integrated with the emergency services, ii) ambulance services incorporate standards of personnel education, vehicular design and life support equipment commensurate with those of the overall emergency care system.
Text
The Canadian Medical Association, recognizing the vital role of ambulance services in providing mobile life support for the acutely ill and injured, recommends that i) ambulance services be considered, where practicable, a direct extension of a hospital emergency department and integrated with the emergency services, ii) ambulance services incorporate standards of personnel education, vehicular design and life support equipment commensurate with those of the overall emergency care system.
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Relationships among all health care professionals

https://policybase.cma.ca/en/permalink/policy11893
Date
2016-08-24
Topics
Health systems, system funding and performance
Physician practice/ compensation/ forms
Resolution
GC16-23
The Canadian Medical Association supports educating health care teams to foster collaborative approaches and promote healthy relationships among all health care professionals.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Physician practice/ compensation/ forms
Resolution
GC16-23
The Canadian Medical Association supports educating health care teams to foster collaborative approaches and promote healthy relationships among all health care professionals.
Text
The Canadian Medical Association supports educating health care teams to foster collaborative approaches and promote healthy relationships among all health care professionals.
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MD/PhD funding from the Canadian Institutes of Health Research

https://policybase.cma.ca/en/permalink/policy11899
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-28
The Canadian Medical Association calls on the federal government to reinstate MD/PhD funding from the Canadian Institutes of Health Research.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-28
The Canadian Medical Association calls on the federal government to reinstate MD/PhD funding from the Canadian Institutes of Health Research.
Text
The Canadian Medical Association calls on the federal government to reinstate MD/PhD funding from the Canadian Institutes of Health Research.
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Recognize family caregivers as partners in health care delivery

https://policybase.cma.ca/en/permalink/policy11902
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-31
The Canadian Medical Association supports the development of a national strategy to formally recognize family caregivers as partners in health care delivery.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-31
The Canadian Medical Association supports the development of a national strategy to formally recognize family caregivers as partners in health care delivery.
Text
The Canadian Medical Association supports the development of a national strategy to formally recognize family caregivers as partners in health care delivery.
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Renewed national health accord

https://policybase.cma.ca/en/permalink/policy11904
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-33
The Canadian Medical Association will engage with federal decision-makers to pursue a renewed national health accord.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-33
The Canadian Medical Association will engage with federal decision-makers to pursue a renewed national health accord.
Text
The Canadian Medical Association will engage with federal decision-makers to pursue a renewed national health accord.
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Access to public long-term care homes

https://policybase.cma.ca/en/permalink/policy11906
Date
2016-08-24
Topics
Health systems, system funding and performance
Population health/ health equity/ public health
Resolution
GC16-35
The Canadian Medical Association will raise the federal government’s awareness of the inequitable access to public long-term care homes that is experienced by patients with financial, cultural and/or linguistic barriers.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Population health/ health equity/ public health
Resolution
GC16-35
The Canadian Medical Association will raise the federal government’s awareness of the inequitable access to public long-term care homes that is experienced by patients with financial, cultural and/or linguistic barriers.
Text
The Canadian Medical Association will raise the federal government’s awareness of the inequitable access to public long-term care homes that is experienced by patients with financial, cultural and/or linguistic barriers.
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Patient navigator models

https://policybase.cma.ca/en/permalink/policy11907
Date
2016-08-24
Topics
Health care and patient safety
Health systems, system funding and performance
Population health/ health equity/ public health
Resolution
GC16-36
The Canadian Medical Association supports the development of patient navigator models, particularly for vulnerable patient populations.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health care and patient safety
Health systems, system funding and performance
Population health/ health equity/ public health
Resolution
GC16-36
The Canadian Medical Association supports the development of patient navigator models, particularly for vulnerable patient populations.
Text
The Canadian Medical Association supports the development of patient navigator models, particularly for vulnerable patient populations.
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Integration of care

https://policybase.cma.ca/en/permalink/policy11908
Date
2016-08-24
Topics
Population health/ health equity/ public health
Health systems, system funding and performance
Resolution
GC16-37
The Canadian Medical Association supports the integration of care between specialist/acute care physicians and family physicians as patients move between primary and secondary/acute care.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Population health/ health equity/ public health
Health systems, system funding and performance
Resolution
GC16-37
The Canadian Medical Association supports the integration of care between specialist/acute care physicians and family physicians as patients move between primary and secondary/acute care.
Text
The Canadian Medical Association supports the integration of care between specialist/acute care physicians and family physicians as patients move between primary and secondary/acute care.
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Cost of neuropsychological assessments

https://policybase.cma.ca/en/permalink/policy11912
Date
2016-08-24
Topics
Health care and patient safety
Health systems, system funding and performance
Resolution
GC16-55
The Canadian Medical Association supports inclusion of the cost of neuropsychological assessments of all patients suspected of fetal alcohol spectrum disorder as an insured-benefit.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health care and patient safety
Health systems, system funding and performance
Resolution
GC16-55
The Canadian Medical Association supports inclusion of the cost of neuropsychological assessments of all patients suspected of fetal alcohol spectrum disorder as an insured-benefit.
Text
The Canadian Medical Association supports inclusion of the cost of neuropsychological assessments of all patients suspected of fetal alcohol spectrum disorder as an insured-benefit.
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Contingency plans to respond to emergencies or disasters

https://policybase.cma.ca/en/permalink/policy11913
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-42
The Canadian Medical Association supports the development of practice contingency plans to respond to emergencies or disasters that disrupt primary care service delivery.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-42
The Canadian Medical Association supports the development of practice contingency plans to respond to emergencies or disasters that disrupt primary care service delivery.
Text
The Canadian Medical Association supports the development of practice contingency plans to respond to emergencies or disasters that disrupt primary care service delivery.
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Emergency health services

https://policybase.cma.ca/en/permalink/policy11914
Date
2016-08-24
Topics
Health systems, system funding and performance
Health human resources
Ethics and medical professionalism
Resolution
GC16-43
The Canadian Medical Association supports initiatives to enhance the capacity of primary care physicians to provide emergency health services during and after disasters.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Health human resources
Ethics and medical professionalism
Resolution
GC16-43
The Canadian Medical Association supports initiatives to enhance the capacity of primary care physicians to provide emergency health services during and after disasters.
Text
The Canadian Medical Association supports initiatives to enhance the capacity of primary care physicians to provide emergency health services during and after disasters.
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Transfer of acute care services to the community

https://policybase.cma.ca/en/permalink/policy11921
Date
2016-08-24
Topics
Health systems, system funding and performance
Population health/ health equity/ public health
Resolution
GC16-38
The Canadian Medical Association calls for the development of policy guidance and provision of adequate resources to enable the transfer of acute care services to the community.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Population health/ health equity/ public health
Resolution
GC16-38
The Canadian Medical Association calls for the development of policy guidance and provision of adequate resources to enable the transfer of acute care services to the community.
Text
The Canadian Medical Association calls for the development of policy guidance and provision of adequate resources to enable the transfer of acute care services to the community.
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Patients access to their electronic medical record

https://policybase.cma.ca/en/permalink/policy11924
Date
2016-08-24
Topics
Health information and e-health
Resolution
GC16-49
The Canadian Medical Association recommends that patients be able to access their electronic medical record and contribute information to it.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health information and e-health
Resolution
GC16-49
The Canadian Medical Association recommends that patients be able to access their electronic medical record and contribute information to it.
Text
The Canadian Medical Association recommends that patients be able to access their electronic medical record and contribute information to it.
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Funding criteria for any new electronic medical record initiative

https://policybase.cma.ca/en/permalink/policy11925
Date
2016-08-24
Topics
Health systems, system funding and performance
Health information and e-health
Resolution
GC16-50
The Canadian Medical Association recommends that funding criteria for any new electronic medical record initiative include the ability for patients to access and contribute to their record.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Health information and e-health
Resolution
GC16-50
The Canadian Medical Association recommends that funding criteria for any new electronic medical record initiative include the ability for patients to access and contribute to their record.
Text
The Canadian Medical Association recommends that funding criteria for any new electronic medical record initiative include the ability for patients to access and contribute to their record.
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Promotion of innovation in health care

https://policybase.cma.ca/en/permalink/policy11926
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-51
The Canadian Medical Association calls for health care system funding mechanisms to promote innovation in health care.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Resolution
GC16-51
The Canadian Medical Association calls for health care system funding mechanisms to promote innovation in health care.
Text
The Canadian Medical Association calls for health care system funding mechanisms to promote innovation in health care.
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An Act providing for the development of a framework on palliative care in Canada

https://policybase.cma.ca/en/permalink/policy11928
Date
2016-08-24
Topics
Health systems, system funding and performance
Population health/ health equity/ public health
Resolution
GC16-54
The Canadian Medical Association supports Bill C-277, An Act providing for the development of a framework on palliative care in Canada.
Policy Type
Policy resolution
Date
2016-08-24
Topics
Health systems, system funding and performance
Population health/ health equity/ public health
Resolution
GC16-54
The Canadian Medical Association supports Bill C-277, An Act providing for the development of a framework on palliative care in Canada.
Text
The Canadian Medical Association supports Bill C-277, An Act providing for the development of a framework on palliative care in Canada.
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